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Explainable Ai Jobs in Washington (NOW HIRING)

Sunayu

Contingent AI Engineer - Top Secret

Rockville, MD · On-site

$116K - $140K/yr

Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. * Contribute to the integration of AI ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Familiarity with explainable AI (XAI) techniques for safety-critical environments. * Hands-on experience with reinforcement learning and real-time systems applicable to MPC. Qualifications We Prefer:

Aitopics

Senior Data Scientist

Springfield, VA · On-site

$117 - $195/hr

Explainable AI * Machine Learning * Bayesian Modeling * Data Processing * Demand forecasting * Data Management * Data Quality * Descriptive Analytics * D3.js * Atlassian Confluence * Atlassian Jira ...

Neuroscale AI

Forward Deployed Engineer

Reston, VA · On-site

Support safe, reliable, and explainable AI deployments with clear logging, traceability, monitoring, and customer-facing outputs. Product Feedback & Internal Collaboration * Serve as the voice of the ...

Halvik-

AI/ML Subject Matter Expert

Vienna, VA · On-site

$100 - $130/hr

Ensure code security, model governance, and adherence to Responsible and Explainable AI practices * Regularly recommend and report on industry trends and solutions to meet evolving client needs ...

Halvik

AI/ML Subject Matter Expert

Vienna, VA · On-site

$195K - $210K/yr

Ensure code security, model governance, and adherence to Responsible and Explainable AI practices * Regularly recommend and report on industry trends and solutions to meet evolving client needs ...

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Explainable Ai information

What is the difference between Explainable Ai vs Data Scientist?

AspectExplainable AiData Scientist
CredentialsTypically requires knowledge of AI, machine learning, and data analysis; certifications like AI or ML courses are commonRequires degrees in computer science, statistics, or related fields; certifications in data analysis or machine learning are beneficial
Work EnvironmentWorks within AI development teams, focusing on model transparency and interpretabilityWorks across data analysis, model building, and business insights, often in research or corporate settings
Industry UsageUsed in AI development, healthcare, finance, and any field requiring transparent AI modelsApplied in tech, finance, healthcare, and research for data-driven decision making

Explainable Ai focuses on making AI models transparent and understandable, ensuring trust and compliance. Data Scientists develop and analyze models, often working with complex data. While both roles involve AI and data, Explainable Ai specialists emphasize interpretability, whereas Data Scientists focus on model creation and insights.

What are some of the typical challenges faced when working in Explainable AI and how do professionals address them?

Professionals in Explainable AI often encounter challenges such as balancing model accuracy with interpretability, translating complex model outputs into understandable insights for non-technical stakeholders, and ensuring transparency without compromising sensitive data. Addressing these issues typically involves using specialized tools and frameworks for visualization, collaborating closely with data scientists, domain experts, and business teams, and staying updated on the latest research in model interpretability. Continuous learning and open communication are key to overcoming these challenges and delivering AI solutions that are both effective and trustworthy.

What are the key skills and qualifications needed to thrive as an Explainable AI specialist?

To thrive as an Explainable AI specialist, you need a strong background in machine learning, data science, and statistics, typically with an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and libraries like LIME or SHAP, as well as experience in model interpretability tools, is essential. Strong analytical thinking, effective communication, and the ability to translate complex technical concepts for non-technical stakeholders are crucial soft skills. These capabilities ensure that AI models are transparent, trustworthy, and can be responsibly integrated into decision-making processes.

What is Explainable AI?

Explainable AI (XAI) refers to methods and techniques in artificial intelligence that make the results of AI models understandable and interpretable by humans. XAI aims to provide transparency into how AI systems make decisions, helping users trust and effectively manage AI applications. This is especially important in fields like healthcare, finance, and law, where understanding the reasoning behind AI-driven outcomes can be crucial for accountability and compliance. By making AI more transparent, XAI also helps identify and address biases or errors in AI systems.
What are popular job titles related to Explainable Ai jobs in Washington? For Explainable Ai jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Explainable Ai jobs in Washington look for? The top searched job categories for Explainable Ai jobs in Washington are:
What cities in Washington are hiring for Explainable Ai jobs? Cities in Washington with the most Explainable Ai job openings:
Explainable Ai jobs near you
Infographic showing various Explainable Ai job openings in Washington as of August 2026, with employment types broken down into 48% Full Time, and 52% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

Contingent AI Engineer - Top Secret

Sunayu

Rockville, MD • On-site

$116K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Category: Data Scientist
Travel Required: No
Remote Type: Hybrid


**Position is contingent upon contract award**

Sunayu, LLC is looking for a AI Engineer who will support the development and operationalization of AI and agentic AI systems in production mission environments.


  • Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
  • Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
  • Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.


What You Bring:

  • Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Additional/Relevant experience may be substituted for a degree.
  • 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (4+ years with a Master’s).
  • Active Top Secret clearance and eligibility for TS/SCI with Polygraph
  • Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
  • Track record of creative problem solving, active learning, and mission-focused outcomes.


Experience with the following:

  • AI/ML production engineering
  • LLMOps / MLOps
  • RAG architectures
  • AI orchestration frameworks
  • Kubernetes-based AI deployments
  • OpenAI-compatible APIs
  • Python development
  • GPU inference optimization


Preferred Qualifications:

  • Experience supporting military or intelligence community customers.
  • Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
  • Familiarity with the following technologies
    • LangGraph
    • Semantic Kernel
    • vLLM
    • Ollama
    • Ray
    • NVIDIA GPU ecosystems
    • Vector databases

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Who We Are 

Sunayu, LLC serves as a premier technology partner to the Defense and Intelligence communities, delivering mission-critical engineering solutions across the nation. Our operations are anchored in a commitment to trust, accountability, and ethical transparency, ensuring the high-performance outcomes necessary to protect our country's most vital interests. 


Culture

Our strength lies in our community: Our team prioritizes collaboration, professional growth, and encourages open communication. At Sunayu, we don't just secure the mission—we grow together.


Career Development

We support and encourage our team members to continue their professional growth by providing company-reimbursed training and continuing education of up to $5,000 per year. We also participate in many industry conferences and events where we share our expertise and experiences.


Pay Rate

Salary range considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills, as well as market and business considerations when extending an offer.


Benefits

  • 3 Medical Plan Options
  • Dental and Vision 
  • FSA, DCFSA, HSA
  • Life/AD&D Insurance
  • Short-Term & Long-Term Disability 
  • Employee Assistance Program (EAP)
  • Training and Educational Assistance
  • Paid Time Off (PTO)
  • 11 Federal holidays 
  • 401k plan with up to a 6% match (100% immediate vesting) 


Equal Opportunity Employer

Sunayu, LLC is an Equal Opportunity/Affirmative Action Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability status, marital status, genetic information, medical condition, or any other characteristic protected by law.